Showing 8 open source projects for "kernel virtual machine"

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  • 1
    WANIX

    WANIX

    A virtual environment kit for the local-first web

    wanix is a hobbyist Unix-like operating system written from scratch in C, aiming to implement core features of a traditional OS in an educational and modular way. The project walks through kernel development starting from bootloading, memory management, system calls, and eventually to user programs. With support for x86_64 and simple tools like a shell and basic file I/O, wanix serves as both a learning platform and a launching point for more advanced kernel features.
    Downloads: 4 This Week
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  • 2
    Azure Linux

    Azure Linux

    General purpose Linux OS for Azure

    Azure Linux is Microsoft’s open-source Linux distribution built and optimized for Azure environments. It is designed to provide a secure and reliable operating system for virtual machines, containers, and bare-metal platforms. The distribution is derived from Fedora Linux sources while adding Azure-specific engineering for cloud operations. It uses the RPM package ecosystem, which makes it familiar to administrators and developers who already work with RPM-based Linux systems. Azure Linux...
    Downloads: 296 This Week
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  • 3
    syzkaller

    syzkaller

    syzkaller is an unsupervised coverage-guided kernel fuzzer

    syzkaller is Google’s coverage-guided, feedback-driven kernel fuzzer designed to uncover reliability and security bugs in operating system kernels at scale. It automatically generates, mutates, and minimizes system call programs, then drives them through a specialized executor (syz-executor) to exercise deep kernel paths. The system integrates tightly with sanitizers such as KASAN, KMSAN, KCSAN, and UBSAN to surface memory safety, concurrency, and undefined behavior issues with actionable...
    Downloads: 1 This Week
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  • 4
    Nightingale

    Nightingale

    A distributed and high-performance monitoring system

    ...Prometheus enterprise edition. Nightingale is a new generation of domestic intelligent monitoring system. It has good support for cloud-native scenarios and traditional physical machine virtual machine scenarios. It takes 10 minutes to complete the construction and is familiar with use in 1 hour. It has been verified by the massive data of the production environment of Didi, and hopes to create a benchmark for domestic monitoring. Nightingale released the v1 version on 2020.3.20, and it is currently the v5.0 version. ...
    Downloads: 10 This Week
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  • 5
    Tetragon

    Tetragon

    eBPF-based Security Observability and Runtime Enforcement

    Tetragon is a flexible Kubernetes-aware security observability and runtime enforcement tool that applies policy and filtering directly with eBPF, allowing for reduced observation overhead, tracking of any process, and real-time enforcement of policies. Observe the complete lifecycle of every process on your machine with Kubernetes context awareness. Translate high-level policies for file monitoring, network observability, container security, and more into low-overhead eBPF programs. Synchronous monitoring, filtering, and enforcement completely in the kernel with eBPF.
    Downloads: 7 This Week
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  • 6
    elastic-jupyter-operator

    elastic-jupyter-operator

    Cloud-native way to provide elastic Jupyter Notebooks on Kubernetes

    Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text, and multimedia resources in a single document. For data scientists and machine learning engineers, Jupyter has emerged as a de facto standard. At the same time, there has been growing criticism that the way notebooks are being used leads to low resource utilization. GPU and other hardware resources will be bound to...
    Downloads: 8 This Week
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  • 7
    Docker Machine

    Docker Machine

    Machine management for a container-centric world

    Docker Machine is a tool that lets you install Docker Engine on virtual hosts, and manage the hosts with docker-machine commands. You can use Machine to create Docker hosts on your local Mac or Windows box, on your company network, in your data center, or on cloud providers like Azure, AWS, or DigitalOcean. Using docker-machine commands, you can start, inspect, stop, and restart a managed host, upgrade the Docker client and daemon, and configure a Docker client to talk to your host. ...
    Downloads: 1 This Week
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  • 8
    Downloads: 0 This Week
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